Chapter 7- Theoretical Distributions including the Normal Distribution Flashcards Preview

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Flashcards in Chapter 7- Theoretical Distributions including the Normal Distribution Deck (16):
1

Empirical distributions

Distributions using observed scores (i.e. real scores)

2

What are theoretical distributions based on?

Mathematical formulas and logic, rather than on empirical observations

3

What can you use theoretical distributions to find?

Probability

4

What does probability range from?

Probabilities are often called "chances in a hundred."
It ranges from 0.00 to 1.00

5

What is the significance of 0 and 1 concerning a probability?

0.00- equals no certainty
1.00- equals certainty

6

Rectangular distribution

distribution in which all scores have the same frequency.
It involves straight lines

7

Are straight lines still called curves?

Yes. The line that encloses a histogram or frequency polygon is called a curve, even if it is straight.

8

What do the areas of a probability add up to?

1.00

9

Binomial distribution

Is another example of a theoretical distribution.
Distribution of the frequency of events that can have only two possible outcomes

10

Example of a binomial distribution

Flipping a coin in the air. Finding the possibilities of heads/tails

11

How to calculate a binomial distribution

Multiply the probabilities of each of the independent events

12

Theoretical v empirical

Theo
-distribution may not reflect 'exactly' what happens
-best estimate of how events would actually occur

Empirical
-actual results influenced by chance
-if we redid the test and did 520, 5,200, or 52,000 the theo and empirical would sit flat on top of each other and match

13

Normal distribution

A bell-shaped, theoretical distribution that predicts the frequency of occurrence of chance events

14

Is your data wrong if it does not look like a normal distribution?

NO. Just because it's not normal doesn't mean it's abnormal

15

What is the x-axis of a normal distribution?

z scores

16

What are the mean, median, and mode for the n

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